X Gu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Immunology top 10%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- interferon and immune responses
Papers in
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- Animal Virus Infections Studies 4
-
- Aquaculture disease management and microbiota 2
- Co-authors
- Peter D. Kirkland (9 shared papers)Melinda J. Frost (4 shared papers)Deborah S. Finlaison (4 shared papers)Julia Francis Ridpath (2 shared papers)Paul M. Hick (3 shared papers)Melinda Gabor (1 shared paper)Jane Frances (1 shared paper)Wayne A. O’Connor (1 shared paper)
- Journals
- Virus Research (2 papers)Veterinary Microbiology (2 papers)Australian Veterinary Journal (2 papers)Diseases of Aquatic Organisms (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
X Gu
11 papers receiving 407 citations
Peers
Comparison fields: 5 of 37
- Animal Science and Zoology 172
- Immunology 170
- Global and Planetary Change 73
- Agronomy and Crop Science 32
- Epidemiology 40
Countries citing papers authored by X Gu
This map shows the geographic impact of X Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by X Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X Gu more than expected).
Fields of papers citing papers by X Gu
This network shows the impact of papers produced by X Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by X Gu. The network helps show where X Gu may publish in the future.
Co-authors
The 18 scholars most cited alongside X Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2007 | 135 | |
| 3 | 2009 | 31 | |
| 4 | 2024 | 13 | |
| 5 | 2015 | 12 | |
| 6 | 2002 | 11 | |
| 7 | 2011 | 10 | |
| 8 | 2011 | 9 | |
| 9 | Development of a laboratory model for infectious challenge of Pacific Oysters (Crassostrea gigas) with ostreid herpesvirus type-1 | 2015 | 9 |
| 10 | 2016 | 8 | |
| 11 | 2019 | 8 |
About X Gu
X Gu is a scholar working on Animal Science and Zoology, Immunology, Epidemiology, Agronomy and Crop Science and Rheumatology, having authored 11 papers that have together received 422 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Influenza Virus Research Studies (2 papers), Aquaculture disease management and microbiota (2 papers), Systemic Lupus Erythematosus Research (1 paper), vaccines and immunoinformatics approaches (1 paper), Mosquito-borne diseases and control (1 paper), Vector-Borne Animal Diseases (1 paper) and Reproductive Physiology in Livestock (1 paper). The work is most often cited by research in Animal Science and Zoology (172 citations), Immunology (170 citations), Global and Planetary Change (73 citations), Agronomy and Crop Science (32 citations) and Epidemiology (40 citations). X Gu has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Peter D. Kirkland, Melinda J. Frost, Deborah S. Finlaison, Julia Francis Ridpath, Paul M. Hick, Melinda Gabor, Jane Frances, Wayne A. O’Connor, Cheryl Jenkins and Anthony D. Shannon. Their work appears in journals such as Virus Research, Veterinary Microbiology, Australian Veterinary Journal, Diseases of Aquatic Organisms and International Immunopharmacology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.